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Big Data for REAL: An Intro to Hadoop and MapReduce for MIT Students

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Come join LiveRamp, a big data San Francisco startup, and learn from one of our engineers how we are using Hadoopand MapReduce, as well as Cascading in order to build a very successful company!

Come join LiveRamp, a big data San Francisco startup, and learn from one of our engineers how we are using Hadoopand MapReduce, as well as Cascading in order to build a very successful company! Dinner will be served.

Date: February 6th, 2014
Time: 6pm
Location: MIT Campus Room 56-154

Apache Hadoop is the industry standard software platform for running distributed computations and data operations.Hadoop is powerful, but requires algorithms to be written in the MapReduce paradigm, which often requires a non-trivial reimplementation compared to the "normal" approach. Additionally, Hadoop by itself provides very little support for running many MapReduce computations in sequence for the same data set. Cascading is a library that abstracts away many of the most complex aspects of Hadoop and provides smart handling for Hadoop workflows. This talk will be an intro to Hadoop and MapReduce, as well as Cascading and the cascading_ext project created by LiveRamp.
Check out our github https://github.com/LiveRamp

We will stay after the presentation to discuss internship and new grad full-time opportunities for anyone interested. Learn about our company, amazing culture, upcoming initiatives, and strong mentorship program.